NEC PC-S1375LAS
Geekbench AI Score
3103
Single Precision Score
2237
Half Precision Score
8337
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 03:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | NEC PC-S1375LAS |
| Motherboard | NEC L-SL254 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1949
362.4 IPS |
|
|
Image Classification (HP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (Q)
|
100% |
5421
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4991
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
13208
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (Q)
|
88% |
5456
437.3 IPS |
|
|
Face Detection (SP)
|
100% |
5480
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
4383
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
13351
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4617
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3360
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14314
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10034
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6698
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
37657
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7686
284.6 IPS |
|
|
Text Classification (SP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4456
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3376
58.2 IPS |
